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Documentation Index

Fetch the complete documentation index at: https://docs.qwairy.co/llms.txt

Use this file to discover all available pages before exploring further.

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Date Filtering

All data sources support Looker Studio’s native date range controls. Add a Date Range Control to your dashboard to filter data dynamically.
If no date range is specified, data defaults to the last 90 days.

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Row Limits

Each data source returns a maximum of 10,000 rows per request. For larger datasets, use date range filtering to segment your analysis.

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Common Issues

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Unable to complete authorization

When the authorization step shows “This app is blocked” with no option to proceed: Google Blocked App Warning Cause: Your organization’s Google Workspace security policies block third-party connectors. Solution: Contact your Google Workspace administrator to allow the Qwairy connector:
  1. Open Google Admin Console
  2. Go to Security → API Controls
  3. Click Manage Third-Party App Access
  4. Allow access for the Qwairy connector

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No data appearing in reports

  1. Verify your API token is valid in Team Settings
  2. Ensure the selected brand has monitoring data
  3. Check that the date range includes dates with data
  4. Confirm your team subscription is active

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How to refresh data

Looker Studio caches data for performance. To refresh:
  • Click the Refresh data button in your report
  • Or set up automatic refresh in your data source settings

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Numbers in Looker do not match the Qwairy interface

On the Performance Overview source, brandMentionVisibility, shareOfVoice and sourceCitationVisibility are now calculated as SUM(numerator) / SUM(denominator) and match the interface across any grouping. If your dashboard still shows older numbers, refresh the schema: Resource → Manage added data sources → Refresh fields. For other rate metrics declared as AVG (avgSentiment, brandMentionAvgPosition, competitor-level visibilityScore, etc.), the displayed value is an arithmetic mean across rows. Build a calculated field on the underlying counts to get a volume-weighted ratio, e.g. SUM(answersWithMentions) / SUM(totalAnswers).

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”Mentioned in period” vs “Total tracked” competitors

Competitor Metrics rows only include competitors mentioned in the selected period. totalTrackedCompetitors returns the brand-level registered count (constant, ignores filters). Combine them for a coverage ratio: 
COUNT_DISTINCT(competitor) / MAX(totalTrackedCompetitors)